EconBiz - Find Economic Literature
    • Logout
    • Change account settings
  • A-Z
  • Beta
  • About EconBiz
  • News
  • Thesaurus (STW)
  • Academic Skills
  • Help
  •  My account 
    • Logout
    • Change account settings
  • Login
EconBiz - Find Economic Literature
Publications Events
Search options
Advanced Search history
My EconBiz
Favorites Loans Reservations Fines
    You are here:
  • Home
  • Search: subject:"Autocovariance matrix"
Narrow search

Narrow search

Year of publication
Subject
All
AMUSE 1 Asymptotic normality 1 Autocovariance matrix 1 MA(∞) processes 1 Minimum distance index 1 Social and Behavioral Sciences 1 autocovariance matrix 1 block bootstrap 1 boostrap 1 sieve bootstrap 1 stationary process 1
more ... less ...
Online availability
All
Free 1 Undetermined 1
Type of publication
All
Article 1 Book / Working Paper 1
Language
All
Undetermined 2
Author
All
McMurry, Timothy L 1 Miettinen, Jari 1 Nordhausen, Klaus 1 Oja, Hannu 1 Politis, D N 1 Taskinen, Sara 1
Institution
All
Department of Economics, University of California-San Diego (UCSD) 1
Published in...
All
Statistics & Probability Letters 1 University of California at San Diego, Economics Working Paper Series 1
Source
All
RePEc 2
Showing 1 - 2 of 2
Cover Image
Banded and Tapered Estimates for Autocovariance Matrices and the Linear Process Bootstrap
McMurry, Timothy L; Politis, D N - Department of Economics, University of California-San … - 2010
We address the problem of estimating the autocovariance matrix of a stationary process. Under short range dependence … assumptions, convergence rates are established for a gradually tapered version of the sample autocovariance matrix and for its … inverse. The proposed estimator is formed by leaving the main diagonals of the sample autocovariance matrix intact while …
Persistent link: https://www.econbiz.de/10010676427
Saved in:
Cover Image
Statistical properties of a blind source separation estimator for stationary time series
Miettinen, Jari; Nordhausen, Klaus; Oja, Hannu; … - In: Statistics & Probability Letters 82 (2012) 11, pp. 1865-1873
In this paper, we assume that the observed p time series are linear combinations of p latent uncorrelated weakly stationary time series. The problem is then, using the observed p-variate time series, to find an estimate for a mixing or unmixing matrix for the combinations. The estimated...
Persistent link: https://www.econbiz.de/10011040036
Saved in:
A service of the
zbw
  • Sitemap
  • Plain language
  • Accessibility
  • Contact us
  • Imprint
  • Privacy

Loading...